Data Engineer New Austin, in-person
inKind
- Austin, Texas, United States
- Austin, Texas, United States
À propos
Responsibilities
Design, deploy, and maintain the business’s data and AI platforms.
Own architectural processes and decisions for various data models within the organization, including schemas, vector stores, and knowledge bases that support AI and LLM use cases.
Design and operate feature pipelines, embedding pipelines, and evaluation datasets that support machine learning model training, fine‑tuning, and continuous evaluation.
Work cross‑functionally with various departments—leadership, development, finance, and data science—to convert data into understandable information and AI‑ready inputs for other professionals.
Ensure implemented data and AI systems have relevant security, privacy, and data‑governance controls, particularly around data flowing into and out of third‑party LLM providers.
Minimum Qualifications
Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or a related technology field; an equivalent combination of education and experience is acceptable.
5+ years of professional database development experience, preferably as a Data Engineer in a fast‑paced, complex business setting.
Expert level knowledge of SQL with a focus on writing and optimizing queries.
Demonstrated experience building and maintaining reliable and scalable ETL/ELT pipelines using Snowflake, dbt, and AWS architecture.
Proficiency in Python and modern AI/ML tooling, and experience integrating with LLM APIs (Anthropic, OpenAI, etc.).
Expert problem‑solving ability and maker’s mentality; extensive experience designing and architecting new features and solutions from scratch, especially those that blend traditional data systems with AI‑powered components.
Eagerness to discover innovative ways to work faster and more efficiently, including leveraging AI coding assistants and agents, while balancing competing concerns (tech debt, cost, security, complexity, etc.).
Proactive communication, both written and spoken, and excellent ability to work well with others, in‑person and remotely.
Courage to raise concerns and ask questions.
Ability to stay up‑to‑date with new frameworks and tools—especially in the rapidly evolving AI/ML space—to speed up development, while keeping a sharp eye out for potential vulnerabilities and edge cases (including prompt injection and data leakage to third‑party AI services).
Benefits & Perks
100% employer‑paid medical coverage through Blue Cross Blue Shield for employees on the base healthcare plan.
Company‑paid short‑term disability coverage.
Time Away & Flexibility
Unlimited paid time off.
9 paid company holidays annually.
Generous parental leave and child care benefits.
Growth & Development
Career development and training opportunities designed to support long‑term professional growth.
Daily catered lunches and office snacks.
Credits to dine within the inKind restaurant network.
Collaborative, in‑person culture based in Austin, Texas.
Dog‑friendly office environment with views of downtown Austin.
$135,000 - $155,000, DOE
inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind’s ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third‑party service providers for fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy. For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.
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Compétences linguistiques
- English
Avis aux utilisateurs
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